Madeline SchemelAI Enablement & Adoption Leader
AI Enablement • Adoption Strategy • Learning Innovation • Change Leadership

Turning AI strategy into confident adoption, better workflows, and measurable business impact.

I lead the human side of AI transformation. I translate emerging capabilities into role-based learning, practical workflow guidance, change strategies, and scalable enablement systems that help people move from awareness to confident application. My work combines AI fluency, learning strategy, adoption measurement, and cross-functional consulting for enterprise audiences of 10,000 to 20,000+ employees.

Current FocusEnterprise AI Enablement & AdoptionLearning Innovation | Change | Workflow Transformation
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About

Learning strategy, change, and enablement built for complex work.

Madeline Schemel headshot

I am a Senior Learning Designer & Change Manager on HUB International's Digital Learning team, supporting AI and Automation. In this role, I lead learning strategy and design for complex AI and automation initiatives and partner across product, program, business, and change teams to build workforce readiness and adoption.

Across my career, I have designed enterprise onboarding, technology transformation, digital learning, and performance support for large, distributed audiences. My approach blends learning strategy, instructional design, change management, performance consulting, communication, and measurement so solutions are useful in the moment and scalable over time.

  • Translate complex business and technology change into clear employee experiences
  • Design learning and change strategies that drive adoption, not just completion
  • Build scalable programs across onboarding, AI enablement, systems, and performance support
  • Partner with leaders, product teams, SMEs, and change partners to connect learning to business outcomes
AI Enablement Operating Model

I design for adoption, not attendance.

My approach treats AI enablement as a business transformation discipline. Training is one lever inside a broader system that connects use cases, role-based capability, workflow practice, reinforcement, governance, and measurable adoption.

01

Discover

Map roles, workflows, friction points, and high-value AI opportunitiesAssess readiness, confidence, risk, and capability gapsAlign leaders on outcomes and adoption measures
02

Enable

Build role-based pathways and practical workflow learningCreate demonstrations, playbooks, prompt patterns, and performance supportEquip leaders and champions to reinforce new behaviors
03

Embed

Move learning into the flow of workConnect communications, change moments, resources, and product releasesDesign reusable content systems that evolve with AI capabilities
04

Measure

Track adoption, confidence, application, and business signalsUse feedback and usage data to identify frictionIterate the enablement strategy based on evidence
Capabilities & Technology

Strategy first. Tools in service of adoption.

01

Learning Strategy, Change & Performance

Needs analysis Learning strategy development Curriculum architecture ADDIE and SAM methodologies Performance consulting Learning pathway design Competency mapping Change impact, readiness, and adoption planning
02

Learning Experience Design & Development

Articulate Storyline Articulate Rise Camtasia Vyond Canva Adobe Creative Suite SCORM package development Video-based learning assets
03

AI, Automation & Digital Adoption

Claude AI ChatGPT AI prompt engineering AI-assisted course development AI video script development AI knowledge exploration AI learning content prototyping AI and automation enablement strategy
04

Enterprise Platforms & Collaboration

SharePoint Microsoft Teams Microsoft 365 PowerPoint Learning management systems SCORM and xAPI standards Enterprise content management systems Miro and collaborative whiteboarding
Case Study 01

Enterprise AI & Automation Learning Initiative

An enterprise learning and change initiative focused on building AI and automation capability, responsible adoption, and leadership readiness across the organization.

AI + Automation Adoption

Business Challenge

AI and automation capabilities are evolving quickly, creating a need for clear guidance, role-relevant learning, and coordinated change support. Employees and leaders need practical ways to understand new tools, apply them responsibly, and connect them to real work.

My Role

As Senior Learning Designer & Change Manager supporting AI and Automation, I own learning strategy and architecture for complex initiatives and partner with product owners, program leaders, business stakeholders, and change partners to translate emerging technology into approachable, role-relevant enablement.

Solution

Build scalable learning ecosystems that include foundational and leader-focused vILTs, learning journeys, demonstrations, quick-reference resources, assessments, and ongoing curriculum planning. Content emphasizes practical application, responsible use, and adoption in everyday workflows.

Current Focus

  • Build structured learning journeys from awareness to confident application
  • Create role-relevant learning for employees, leaders, and change champions
  • Align learning, readiness, communications, feedback, and change support across evolving releases

AI Learning Journey

Structured learning journey showing how employees progress from AI awareness and foundational prompting to practical workplace application and leadership enablement.

Explore journey

AI Enablement Playbook

Portfolio-safe strategy artifact showing how I structure role-based AI adoption from discovery through measurement, without exposing proprietary training content.

Explore playbook

AI Adoption Case Study

A fictional healthcare technology case study demonstrating how I would move an organization from AI access to sustained adoption through workflow discovery, role-based enablement, leader reinforcement, champions, and measurement.

View case study
Case Study 02

Enterprise Workflow & Learning Transformation

Additional evidence that I can lead adoption beyond AI, modernizing complex workflows and learning systems for large, distributed audiences.

Adoption + Scale

Digital Workflow Adoption

Designed blended enablement for major system and workflow changes using interactive learning, concise performance support, video, and change communications. The focus was reducing friction and helping employees perform confidently in a changed environment.

Onboarding Modernization

Designed and launched scalable onboarding experiences supporting 10,000+ employees and increasing hands-on learning engagement by 60%, combining self-paced and facilitated experiences around real work.

Measured Adoption

Improved training adoption from 23% to 92% by redesigning experiences around learner needs, practical application, reinforcement, and stakeholder alignment.

What It Proves

  • Enterprise change and adoption leadership
  • Scalable digital learning architecture
  • Cross-functional stakeholder consulting
  • Measurement and continuous improvement

Interactive Workflow Learning Demo

A representative Storyline experience demonstrating how I design practical system learning around employee tasks and decisions.

Launch demo

AI-Assisted Workflow Performance Support

A concise quick-reference example showing how AI functionality can be introduced at the point of need.

View example
Resume + Contact

Let’s connect.

Thanks for reviewing my work. I bring together learning strategy, change management, AI enablement, onboarding, and digital adoption to help organizations build capability and navigate complex transformation.

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